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| #!/usr/bin/env python | |
| # Simple example of Wiener deconvolution in Python. | |
| # We use a fixed SNR across all frequencies in this example. | |
| # | |
| # Written 2015 by Dan Stowell. Public domain. | |
| import numpy as np | |
| from numpy.fft import fft, ifft, ifftshift |
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| function [maxtab, mintab]=peakdet(v, delta, x) | |
| %PEAKDET Detect peaks in a vector | |
| % [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local | |
| % maxima and minima ("peaks") in the vector V. | |
| % MAXTAB and MINTAB consists of two columns. Column 1 | |
| % contains indices in V, and column 2 the found values. | |
| % | |
| % With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices | |
| % in MAXTAB and MINTAB are replaced with the corresponding | |
| % X-values. |